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Several modifications were made to Nishizono's model which improved the behaviour of the models.
A correlation was developed to account for these effects, and was incorporated into the model, which improved the accuracy of the predicted results.
Using this computational approach we previously developed an agent based keratinocyte colony formation model, which improved our understanding of the interactions between various keratinocytes and how they self-regulated.
For every illustrative datasets, there was at least one 2-parameter symmetrical model which improved both likelihood and goodness-of-fit relative to the logistic (scaled logit) model.
Baek et al. [ 46] tried to take heart rate and arterial stiffness into account for the blood pressure estimation model, which improved the estimation accuracy.
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In paper [40] authors developed an elastic net model which improves the accuracy for estimating glucose.
In view of the above fact, we, in the present paper, will introduce a model, which improves model (1.1) in certain extent.
The TSM is extended toSST turbulence model, which improves the numerical accuracy and the ability of simulating complex flows.
It is very useful to combine both PCA and LDA approaches (called PC-LDA model), which improves the efficiency of classification as it automatically finds the most diagnostically significant features.
In [16], the authors propose a Graph-Based Visual Saliency (GBVS) model which improves the model developed by Itti et al. The GBVS model relies on a fully connected graph between feature maps at multiple spatial scales.
The image enhancement is based on an illuminance reflectance model which improves the visual quality of digital images and video captured under insufficient or non-uniform lighting conditions.
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